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Ecological competition in Amazon rainforest: performance of competition module in CAETÊ, a trait-based model

Grant number: 19/27690-3
Support type:Scholarships abroad - Research Internship - Master's degree
Effective date (Start): May 25, 2020
Effective date (End): August 30, 2020
Field of knowledge:Biological Sciences - Ecology - Ecosystems Ecology
Principal researcher:David Montenegro Lapola
Grantee:Bárbara Aparecida Pereira da Rocha Cardeli
Supervisor abroad: Thiago Sanna Freire Silva
Home Institution: Centro de Pesquisas Meteorológicas e Climáticas Aplicadas à Agricultura (CEPAGRI). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil
Research place: University of Stirling, Scotland  
Associated to the scholarship:19/06486-9 - Individual-based modeling of plant functional traits under changing environmental conditions in the tropical region, BP.MS


For predicting the effects of climate change on biodiversity it is necessary to identify those interactions between species that are most vulnerable to changing climate and that are key determinants of the structure and function of a community. Ecological competition is considered an important key filter for determining the distribution of species, as well for their ecological and evolutionary success. Changes in competitive dynamics related to climate change can predict the functioning, resilience, and structure of the forest, although, this is still poorly understood. Light competition dynamics in plant communities can determine which trait values and which combinations of these are successful and dominate the local tree community, affecting individual carbon status and mortality rates. Thereby, this scientific proposal has the main objective: To evaluate and contextualize theoretically the new light competition module implemented in the CAETÊ model. This model evaluation will be considered data from empirical studies conducted in situ and theoretical studies about competition for light among plants and also studies covering the relationship of plant competition in future scenarios, such as those describing climate change. This proposal will allow a knowledge exchange between beneficiary and researchers on ecosystem modeling beyond a greater understanding of the mechanism of competition and the plant ecology. (AU)

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